Long-Term Electricity Demand Forecast Using Multivariate Regression and End-Use Method: A Study Case of Maluku-Papua Electricity System
One of the most important stages in electric power system planning is load forecasting. An
accurate demand forecast model is required to create the most optimal plan. Long-term
demand forecasts are developed in this study using regression and end-use models.
Simulation is carried out to determine the load demand of the Maluku-Papua system through
2050. The variables that have the greatest influence on demand forecasting, according to
data analysis, are gross regional domestic product (GRDP), population, electrification ratio …
accurate demand forecast model is required to create the most optimal plan. Long-term
demand forecasts are developed in this study using regression and end-use models.
Simulation is carried out to determine the load demand of the Maluku-Papua system through
2050. The variables that have the greatest influence on demand forecasting, according to
data analysis, are gross regional domestic product (GRDP), population, electrification ratio …
[PDF][PDF] Long-Term Electricity Demand Forecast Using Multivariate Regression and End-Use Method: A Study Case of Maluku-Papua Electricity System
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One of the most important stages in electric power system planning is load forecasting. An
accurate demand forecast model is required to create the most optimal plan. Long-term
demand forecasts are developed in this study using regression and end-use models.
Simulation is carried out to determine the load demand of the Maluku-Papua system through
2050. The variables that have the greatest influence on demand forecasting, according to
data analysis, are gross regional domestic product (GRDP), population, electrification ratio …
accurate demand forecast model is required to create the most optimal plan. Long-term
demand forecasts are developed in this study using regression and end-use models.
Simulation is carried out to determine the load demand of the Maluku-Papua system through
2050. The variables that have the greatest influence on demand forecasting, according to
data analysis, are gross regional domestic product (GRDP), population, electrification ratio …
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